Real-time phase boundary detection for colonoscopy videos using motion vector templates

Ruwan Nawarathna; Jung Hwan Oh; Jayantha Muthukudage; Wallapak Tavanapong; Johnny Wong; Piet C. De Groen

doi:10.1007/978-3-642-33612-6_13

Real-time phase boundary detection for colonoscopy videos using motion vector templates

Ruwan Nawarathna
, Jung Hwan Oh
, Jayantha Muthukudage
, Wallapak Tavanapong
, Johnny Wong
, Piet C. De Groen

Medicine - Gastro, Hepatology, Nutrition Division

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Colonoscopy is the preferred screening method currently available for detection of colorectal cancer and its precursor lesions, colorectal polyps. However, recent data suggest that there is a significant miss rate for the detection of polyps in the colon during colonoscopy. Therefore, techniques for real-time quality measurement and feedback are necessary to aid the endoscopist towards optimal inspection to improve the overall quality of colonoscopy during the procedure. A typical colonoscopy procedure consists of two phases: an insertion phase and a withdrawal phase. One of the most essential tasks in real-time fully automated quality measurement is to find the location of the boundary between insertion and withdrawal phases. In this paper, we present a method based on motion vector templates to detect the phase boundary in real-time. The proposed method detects the phase boundary with a better accuracy and a faster speed compared to our previous method.

Original language	English (US)
Title of host publication	Abdominal Imaging
Subtitle of host publication	Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings
Pages	116-125
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-33612-6_13
State	Published - 2012
Event	4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 - Nice, France Duration: Oct 1 2012 → Oct 1 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7601 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012
Country/Territory	France
City	Nice
Period	10/1/12 → 10/1/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Colonoscopy
camera motion estimation
end of insertion
motion vector templates
motion vectors
phase boundary

Publisher link

10.1007/978-3-642-33612-6_13

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Nawarathna, R., Oh, J. H., Muthukudage, J., Tavanapong, W., Wong, J., & De Groen, P. C. (2012). Real-time phase boundary detection for colonoscopy videos using motion vector templates. In Abdominal Imaging: Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings (pp. 116-125). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7601 LNCS). https://doi.org/10.1007/978-3-642-33612-6_13

Real-time phase boundary detection for colonoscopy videos using motion vector templates. / Nawarathna, Ruwan; Oh, Jung Hwan; Muthukudage, Jayantha et al.
Abdominal Imaging: Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings. 2012. p. 116-125 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7601 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nawarathna, R, Oh, JH, Muthukudage, J, Tavanapong, W, Wong, J & De Groen, PC 2012, Real-time phase boundary detection for colonoscopy videos using motion vector templates. in Abdominal Imaging: Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7601 LNCS, pp. 116-125, 4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012, Nice, France, 10/1/12. https://doi.org/10.1007/978-3-642-33612-6_13

Nawarathna R, Oh JH, Muthukudage J, Tavanapong W, Wong J, De Groen PC. Real-time phase boundary detection for colonoscopy videos using motion vector templates. In Abdominal Imaging: Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings. 2012. p. 116-125. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33612-6_13

Nawarathna, Ruwan ; Oh, Jung Hwan ; Muthukudage, Jayantha et al. / Real-time phase boundary detection for colonoscopy videos using motion vector templates. Abdominal Imaging: Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings. 2012. pp. 116-125 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Colonoscopy is the preferred screening method currently available for detection of colorectal cancer and its precursor lesions, colorectal polyps. However, recent data suggest that there is a significant miss rate for the detection of polyps in the colon during colonoscopy. Therefore, techniques for real-time quality measurement and feedback are necessary to aid the endoscopist towards optimal inspection to improve the overall quality of colonoscopy during the procedure. A typical colonoscopy procedure consists of two phases: an insertion phase and a withdrawal phase. One of the most essential tasks in real-time fully automated quality measurement is to find the location of the boundary between insertion and withdrawal phases. In this paper, we present a method based on motion vector templates to detect the phase boundary in real-time. The proposed method detects the phase boundary with a better accuracy and a faster speed compared to our previous method.",

keywords = "Colonoscopy, camera motion estimation, end of insertion, motion vector templates, motion vectors, phase boundary",

author = "Ruwan Nawarathna and Oh, \{Jung Hwan\} and Jayantha Muthukudage and Wallapak Tavanapong and Johnny Wong and \{De Groen\}, \{Piet C.\}",

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T1 - Real-time phase boundary detection for colonoscopy videos using motion vector templates

AU - Nawarathna, Ruwan

AU - Oh, Jung Hwan

AU - Muthukudage, Jayantha

AU - Tavanapong, Wallapak

AU - Wong, Johnny

AU - De Groen, Piet C.

PY - 2012

Y1 - 2012

N2 - Colonoscopy is the preferred screening method currently available for detection of colorectal cancer and its precursor lesions, colorectal polyps. However, recent data suggest that there is a significant miss rate for the detection of polyps in the colon during colonoscopy. Therefore, techniques for real-time quality measurement and feedback are necessary to aid the endoscopist towards optimal inspection to improve the overall quality of colonoscopy during the procedure. A typical colonoscopy procedure consists of two phases: an insertion phase and a withdrawal phase. One of the most essential tasks in real-time fully automated quality measurement is to find the location of the boundary between insertion and withdrawal phases. In this paper, we present a method based on motion vector templates to detect the phase boundary in real-time. The proposed method detects the phase boundary with a better accuracy and a faster speed compared to our previous method.

AB - Colonoscopy is the preferred screening method currently available for detection of colorectal cancer and its precursor lesions, colorectal polyps. However, recent data suggest that there is a significant miss rate for the detection of polyps in the colon during colonoscopy. Therefore, techniques for real-time quality measurement and feedback are necessary to aid the endoscopist towards optimal inspection to improve the overall quality of colonoscopy during the procedure. A typical colonoscopy procedure consists of two phases: an insertion phase and a withdrawal phase. One of the most essential tasks in real-time fully automated quality measurement is to find the location of the boundary between insertion and withdrawal phases. In this paper, we present a method based on motion vector templates to detect the phase boundary in real-time. The proposed method detects the phase boundary with a better accuracy and a faster speed compared to our previous method.

KW - Colonoscopy

KW - camera motion estimation

KW - end of insertion

KW - motion vector templates

KW - motion vectors

KW - phase boundary

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BT - Abdominal Imaging

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ER -

Real-time phase boundary detection for colonoscopy videos using motion vector templates

Abstract

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UN SDGs

Keywords

Publisher link

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